商品描述
This book offers insights into hardware-software co-design of epilepsy prediction models. This comprehensive exploration is a key to unlocking the mysteries of seizure forecasting, equipped with expert guidance and visionary foresight. From theory to practice, the authors illuminate the path forward, providing researchers with the tools and knowledge needed to navigate this dynamic field with confidence. They explore the latest advancements in deep learning technology and gain invaluable perspectives on the future landscape of epilepsy research. Bridging the gap between innovation and practicality, this book is a beacon for those seeking to make a tangible impact in healthcare.
商品描述(中文翻譯)
本書提供了有關癲癇預測模型的硬體-軟體共同設計的深入見解。這一全面的探索是解開癲癇發作預測奧秘的關鍵，並配備了專家的指導和前瞻性的視野。從理論到實踐，作者照亮了前進的道路，為研究人員提供了在這個動態領域中自信導航所需的工具和知識。他們探討了深度學習技術的最新進展，並獲得了對癲癇研究未來格局的寶貴見解。本書在創新與實用之間架起了橋樑，是那些希望在醫療保健領域產生實質影響的人的明燈。
作者簡介
Dr. Shiva Maleki Varnosfaderani is a faculty member in the Department of Electrical and Computer Engineering at Wayne State University. She completed her postdoctoral research in artificial intelligence applications for healthcare systems, continuing her commitment to enhancing patient-centered healthcare solutions through machine learning and integrated circuit design. She earned her Ph.D. in Electrical Engineering from Wayne State University in December 2023, focusing on machine learning-based epileptic seizure prediction using EEG data for implantable and wearable healthcare devices. Prior to that, she obtained her M.Sc. and B.Sc. degrees in Electrical Engineering from Isfahan University of Technology, where she specialized in the hardware implementation of face detection systems using wavelet networks. Dr. Maleki Varnosfaderani is proficient in applying machine learning to a range of domains, particularly in healthcare technologies and ASIC design for biomedical applications. Her research interests span machine learning, signal and image processing, biomedical integrated circuits, and AI-driven healthcare solutions. She has led multiple research projects on seizure prediction and the development of power-efficient AI models for medical devices. Her industry experience includes contributing to neuromodulation ASIC design, bridging academic innovation with practical applications. Dr. Nabil J. Sarhan is an Associate Professor of Electrical and Computer Engineering at Wayne State University and the Director of Wayne State Computer Systems and Deep Learning Research Laboratory. He is a co-director of the interdisciplinary M.S. Program in Artificial Intelligence. Dr. Sarhan received Ph.D. and M.S. degrees in Computer Science and Engineering at the Pennsylvania State University and a B.S. degree in Electrical Engineering at Jordan University of Science and Technology. Dr. Mohammad Alhawari is an Associate Professor in the Department of Electrical and Computer Engineering at Wayne State University. He served as a Post-doctoral Research Fellow at Khalifa University between 2016 and 2018. Dr. Alhawari holds a Ph.D. from Khalifa University (2016), a Master of Science from Masdar Institute (2012), and a Bachelor of Science from Yarmouk University (2008), all in Electrical and Computer Engineering. Since joining WSU in 2018, Dr. Alhawari has been a prominent faculty member in the field of chip design research, focusing on the development of integrated analog and mixed-signal circuits. As the director of the Intelligent Chips (iChip) research lab, he leads a world-class research program in Systems-on-Chip that aims to address the challenges facing emerging technologies in fields such as automotive, biomedical, Internet of Things, and wireless industries. iChip's research is driven by current and future industry needs, with a focus on providing innovative solutions that contribute to the development of a highly-skilled workforce in smart technologies. The lab aims to become a hub for integrated system solutions and foster partnerships with high-tech industries in the greater Detroit area and beyond. Dr. Alhawari's research at WSU is dedicated to advancing the field of chip design and helping to bring emerging technologies to market. Dr. Alhawari has achieved remarkable success in his career, receiving the prestigious 2023 NSF Career Award - the highest honor awarded to young faculty members. He also received the 2023 Faculty Research Excellence Award to recognize his research, Dr. Alhawari has authored or co-authored over 60 peer-reviewed publications of high impact. He has also authored one book and co-authored three book chapters, and has five granted patents with one pending. Dr. Alhawari's research group focuses on four main areas of study: Powering Future SoCs, AI Hardware, Smart Healthcare, and Advanced Communication Systems.
作者簡介(中文翻譯)
Dr. Shiva Maleki Varnosfaderani 是韋恩州立大學電機與計算機工程系的教職員。她完成了有關人工智慧在醫療系統應用的博士後研究，持續致力於透過機器學習和集成電路設計來提升以病人為中心的醫療解決方案。她於2023年12月在韋恩州立大學獲得電機工程博士學位，專注於基於機器學習的癲癇發作預測，使用腦電圖（EEG）數據為可植入和可穿戴的醫療設備提供支持。在此之前，她在伊斯法罕科技大學獲得電機工程的碩士和學士學位，專攻使用小波網絡的臉部檢測系統的硬體實現。
Dr. Maleki Varnosfaderani 精通於將機器學習應用於多個領域，特別是在醫療技術和生物醫學應用的ASIC設計方面。她的研究興趣涵蓋機器學習、信號與影像處理、生物醫學集成電路以及以人工智慧驅動的醫療解決方案。她曾主導多個癲癇預測的研究項目，以及為醫療設備開發高效能的人工智慧模型。她的產業經驗包括參與神經調節ASIC設計，將學術創新與實際應用相結合。
Dr. Nabil J. Sarhan 是韋恩州立大學電機與計算機工程的副教授，並擔任韋恩州立計算機系統與深度學習研究實驗室的主任。他是跨學科人工智慧碩士課程的共同主任。Dr. Sarhan 在賓夕法尼亞州立大學獲得計算機科學與工程的博士和碩士學位，並在約旦科技大學獲得電機工程的學士學位。
Dr. Mohammad Alhawari 是韋恩州立大學電機與計算機工程系的副教授。他於2016年至2018年間在哈利法大學擔任博士後研究員。Dr. Alhawari 擁有哈利法大學的博士學位（2016年）、馬斯達爾學院的碩士學位（2012年）以及雅爾穆克大學的學士學位（2008年），均為電機與計算機工程領域。自2018年加入韋恩州立大學以來，Dr. Alhawari 在晶片設計研究領域成為一位重要的教職員，專注於集成類比和混合信號電路的開發。作為智能晶片（iChip）研究實驗室的主任，他領導著一個世界級的系統單晶片研究計劃，旨在解決汽車、生物醫學、物聯網和無線產業等新興技術面臨的挑戰。iChip 的研究受到當前和未來產業需求的驅動，專注於提供創新解決方案，促進智能技術領域高技能勞動力的發展。該實驗室旨在成為集成系統解決方案的中心，並促進與底特律大區及其他地區高科技產業的合作。Dr. Alhawari 在韋恩州立大學的研究致力於推進晶片設計領域，並幫助將新興技術推向市場。
Dr. Alhawari 在其職業生涯中取得了顯著的成功，獲得了2023年國家科學基金會（NSF）職業獎，這是頒發給年輕教職員的最高榮譽。他還獲得了2023年教職員研究卓越獎，以表彰他的研究成果。Dr. Alhawari 已發表或共同發表超過60篇高影響力的同行評審出版物。他還著有一本書並共同撰寫三個書章，擁有五項已授權專利及一項待審專利。Dr. Alhawari 的研究小組專注於四個主要研究領域：未來系統單晶片的供電、人工智慧硬體、智能醫療和先進通信系統。
